is ai a bubble or an opportunity?

In collaboration with UCL's Centre for Sustainability and RealTech Innovation, we are bringing you the first of a three part webinar series to showcase our new executive education course.

about the event

A 1 hour executive briefing and a preview of the Executive Education course.

AI is dominating leadership conversations. Some claim it will redefine every industry. Others dismiss it as hype that won’t survive the next cycle.​

Most executives sit in the middle, expected to make decisions without clear frameworks, shared language, or confidence in what’s real.​

This webinar is the first in a short webinar series designed to give leaders a practical, evidence-based introduction to AI strategy and a preview of the thinking, tools, and frameworks used in our official Executive Education course.​

This is not a sales demo.

It’s a high-signal executive briefing.

date

25th February 2026

time

12:00 - 13:00 GMT

location

Online
Naqash Tahir
Executive Director - R&D and Investments - RealAssetX
Naqash Tahir is Executive Director of Research & Development and Investments at RealAssetX, PGIM's innovation lab dedicated to revolutionising the real assets sector through technology and venture investments.
As founder and chairman of ReimTech and former co-Chair of ULI's Council on Real Estate and Technology, Naqash sits at the intersection of real estate investment and emerging technology. He chairs INREV's Technology Committee and serves on AREF's Technology working group, giving him a unique perspective on how Europe's leading real estate firms are actually deploying AI and where they're holding back.
An angel investor focused on climate, green energy, and AI startups, Naqash will bring both the investor's lens on AI hype cycles and the practitioner's view on what's delivering real value in real assets today.
Professor Tomaso Aste
Professor of Complexity Science & Head of Computational Economics & Finance (UCL)
Aste is Professor of Complexity Science and Head of the Computational Economics and Finance Section at UCL's Department of Computer Science, where he founded the Financial Computing and Analytics group in 2012. With a background spanning physics, complex systems, and material science across institutions including Imperial College, the Australian National University, and the University of Kent, his research now focuses on data-driven modeling with applications from finance to biology. He is author of Probabilistic Data-Driven Modeling (Cambridge, 2024), founder of the journal Data-Driven Modeling, and co-founder and Scientific Director of the UCL Centre for Blockchain Technologies. Professor Aste advises the Financial Conduct Authority, Bank of England, HMRC, and the All-Party Parliamentary Group on FinTech and RegTech, and coordinates executive training on AI, Blockchain, and RegTech for regulators and financial institutions.
Maria del Rio-Chanona
Lecturer, Financial Computing (UCL)
Maria del Rio-Chanona is a Lecturer in Financial Computing at University College London, where her research focuses on the economic impact of AI, the future of work, and the net-zero transition.
Drawing from network science, machine learning, and large language models, Maria's work examines how AI is actually reshaping economies and labour markets, not just the promise, but the measurable impact. She has advised international policy organisations including the International Monetary Fund and the International Labour Organisation on AI and economic transformation.
With a PhD in Mathematics from Oxford's Complexity Economics group and fellowships at Harvard Kennedy School and the Complexity Science Hub Vienna, Maria brings rigorous academic insight into whether today's AI momentum is justified by economic fundamentals.
To be announced
tbc
Coming soon...
why attend?

You're being asked to invest in AI but you don't have a clear framework for deciding how much, how fast, or where to start.This isn't another webinar telling you AI will change everything. It's a practical executive briefing that gives you the tools to evaluate AI investments with confidence, spot the difference between genuine ROI and expensive distractions, and make decisions that protect your organisation from both over-investing too early and falling behind competitors.

This session is for you if:

- You're tired of vendor pitches and want an honest, evidence-based assessment
- You need to evaluate AI proposals but lack a clear decision framework
- You're responsible for technology investments but unsure where AI fits in your strategy
- You want to understand whether the AI momentum is justified or if we're in a bubble

No sales pitches. No theoretical debates. Just practical frameworks you can use immediately.

What You’ll Learn in 60 Minutes

Our expert panel will address the questions executives are actually asking:

Is the current AI hype justified or are we in a bubble?
Evidence-based perspective on whether investment levels match economic fundamentals

Where is AI delivering measurable ROI today?
Real examples from real estate, infrastructure, and adjacent sectors, what's actually working?

How to spot "vapourware" vs. real value
Practical criteria for evaluating vendor claims and AI solutions

Risks of investing too early vs. waiting too long
When early adoption gives you competitive advantage, and when it just burns capital

How to evaluate whether an AI investment makes sense
A decision framework you can apply to specific proposals and opportunities

What leaders should be doing now: invest, experiment, or wait
Strategic guidance based on your organisation's position, resources, and risk tolerance

what you will walk away with

1. A decision framework you can apply immediately
A practical tool for evaluating whether a specific AI investment makes sense for your organisation including when "waiting" is the smartest strategic move.

2. Clear criteria for spotting vapourware versus real value
The ability to cut through vendor hype and ask the right questions when evaluating AI solutions or proposals.

3. Evidence-based perspective on ROI
Concrete examples of where AI is delivering measurable returns today versus where organisations are still experimenting (or wasting money).

4. Strategic clarity on timing and risk
Understand the real risks of investing too early versus waiting too long, and how to position your organisation accordingly.

5. Your next move
Whether you should invest aggressively, experiment cautiously, or strategically wait plus early access to our Executive Education course for deeper learning.

who should attend?

- ​​C-suite and senior executives​​
- Board members and non-executive directors​​
- Strategy, transformation, and innovation leaders​​
- Anyone responsible for approving, funding, or overseeing AI initiatives

This webinar is the first in a broader collaboration with UCL Centre for Sustainability and RealTech Innovation, designed to support leaders who want to move beyond experimentation and build credible, responsible AI strategies.​

For those who want to go deeper, this session connects directly to our Executive Education course, where participants apply these frameworks hands-on to their own organisations with expert guidance.​

The webinar gives you the foundations.

The course helps you implement them.